Neural Networks in Control Systems

Panos J. Antsaklis

Control Systems Magazine
Vol. 12, No. 2, pp. 8-57, April 1992

Abstract - The state of the art in the area of neural networks in control systems is reflected in this special issue. The need to meet demanding control requirements in increasingly complex dynamical control systems under significant uncertainties makes neural networks very attractive, because of their ability to learn, to approximate functions, to classify patterns and because of their potential for massively parallel hardware implementation. Neural networks do appear to be able to implement many functions essential to control systems with higher degree of autonomy. This is the second special issue of the IEEE Control Systems Muquzine devoted to Neural Networks in Control Systems; the first special issue was two years ago: in April 1990 [ I ] . In
fact. this is the fourth issue of the Magazine with a collection of articles specifically aimed at neural networks in control [1]-[3].

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